Recognition of Power Transformer Fault Based on Dissolved Gas Analysis using Fuzzy Logic Approach

The primary goal of the proposed study is to identify the fault type in the high voltage transformer using a fuzzy logic technique with tuned hyperparameters based on pattern search optimization. Based on the dissolved gas analysis results, fault types in the transformer are identified (DGA). For DGA analysis, this suggested study employs the conventional methodology, the International Electrotechnical Commission ratio (IEC), and the Duval triangle technique. There are transformer faults utilized. The fuzzy logic approach's hyperparameters are optimized using the pattern search optimization technique to improve the performance of the proposed work. In addition, four different fuzzy inference systems are used in this proposed work for further investigation. An intelligent maintenance approach is advised for efficient planning to prevent significant damage to the power transformer.